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Korean Journal of Policy Studies
Graduate School of Public Administration, Seoul National University

Korean J. Policy Stud. 2019; 34(2):1-28

pISSN: 1225-5017, eISSN: 2765-2807

DOI: https://doi.org/10.52372/kjps34201

Article

Comparing Government Performance Indicators: A Fuzzy-set Analysis*

Phil Kim1, Tobin Im2
1Phil Kim is a PhD student of the Graduate School of Public Administration at Seoul National University. E-mail: feeling1@snu.ac.kr.
2Tobin Im, is a professor of the Graduate School of Public Administration at Seoul National University. E-mail: tobin@snu.ac.kr.
*Corresponding Author : E-mail: tobin@snu.ac.kr.

© Copyright 2019 Graduate School of Public Administration, Seoul National University. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Jan 26, 2019; Revised: Feb 15, 2019; Revised: Apr 17, 2019; Accepted: Apr 19, 2019

Published Online: Aug 31, 2019

Abstract

National governments rely on global performance indicators to measure where they stand and to build future strategies. However, no previous study has compiled various indices to investigate pathways to government performance. We use fuzzy-set analysis to investigate what role each of five determinants of government performance—trait competitiveness, change-oriented citizenship behavior, public service motivation, organizational identification, and corruption tolerance—play in three representative government performance indicators—“Government Effectiveness”, “Government Efficiency”, and “Throughput”. The results indicate that government performance as measured by these three indicators is commonly tied to strongly public-service-motivated employees. These three indicators are distinguished from one another with regard to the number of factors that contribute to the construction of sufficient configurations, the role of innovation-inclined factors, and the role of corruption tolerance.

Keywords: government performance; performance indicators; fuzzy-set analysis